2022-2023 Catalog [ARCHIVED CATALOG]
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AIML 315 Computer Vision Fundamentals and Deep Learning Applications
3 unit(s)
The course will teach the basics of Image processing, how spatial patterns/features are captured via Convolutional Filters. Students will gain hands-on experience of implementing the Convolutional Neural Network and learn the spatial Feature Hierarchy via a Convolutional Neural Network, understand the design Choices in a Convolutional Neural Network and other CNN Architectures. This course will provide exposure to a wide variety of state-of-the-art e concepts of Transfer Learning, Data Augmentation, Object Detection and Image Segmentation, etc. and hand-on implementation of the same across verticals.
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